The effect of different hepatic vascular exclusion for massive hemorrhage in hepatectomy / 中华外科杂志

<p><b>OBJECTIVE</b>To analyze the effect of different hepatic vascular exclusions for massive hemorrhage in hepatectomy.</p><p><b>METHODS</b>The clinical data of 2238 cases with hepatectomy treated from January 1995 to August 2009 was analyzed retrospectively in the cause of massive hemorrhage (blood loss ≥ 1000 ml), blood loss during liver resection and massive hemorrhage incidence with different methods of hepatic vascular exclusion.</p><p><b>RESULTS</b>Among 2238 cases received hepatectomy, 215 cases (9.6%) had massive hemorrhage because of portal vein tumor thrombus extraction (26.0%), extensive adhesions around the tumor (24.7%), section of liver hemorrhage (23.7%), hepatic vascular injury (15.8%), and tumor rupture (9.8%). Among 2182 cases received hepatectomy without portal vein tumor thrombus extraction, 159 cases (7.3%) had massive hemorrhage, 1257 cases (57.6%) which blood loss were less than 400 ml. Hepatectomy with different hepatic vascular exclusion methods had different blood loss and massive hemorrhage incidence.</p><p><b>CONCLUSION</b>Pringle combined with clamping infrahepatic vena cava method and the liver double-hanging maneuver through the retrohepatic avascular tunnel on the right of the inferior vena cava method can reduce blood loss and massive hemorrhage incidence in hepatectomy more effectively, especially for huge liver tumor resection.</p>

Study on virtual liver surgery planning applied to hepatic resection / 中华外科杂志

<p><b>OBJECTIVE</b>To evaluate the impact of preoperative three-dimensional visualization and virtual liver surgery planning on hepatic resection.</p><p><b>METHODS</b>All relevant structures (livers, portal vein, hepatic veins, and tumors) were extracted from multislice CT scans of 142 cases treated from May 2007 to May 2009. By the liver surgery planning system software Liv 1.0, reconstruction and image analysis of the relevant structures was performed and virtual resections of liver were carried out. Data were correlated to intraoperative findings.</p><p><b>RESULTS</b>(1) Three-dimensional visualization revealed the spatial relationship of tumors to the intrahepatic vascular system, thus giving impressions how the neoplasms were situated. Virtual tumor resections corresponded to the intraoperative findings. (2) With the planning, an intended resection could be performed virtually and optimal identification of resection margins could be achieved. The ischemia and congestion territory within the remaining liver parenchyma could be calculated. Simulation resections could avoid liver parenchyma over resection and maintain a sufficient amount of liver tissue to sustain hepatic function. Virtual simulations of tumor resection were used successfully to plan of surgical procedures in the hepatic tumors. Hepatectomy was performed in 29 cases after virtual tumor resections but seemed impossible with conventional CT scan. Resection plans of 92 cases were optimized after virtual resections. (3) The mean liver volume of patients with primary hepatocellular carcinoma measured by the software and the real resected was (477 +/- 223) ml and (451 +/- 209) ml respectively. Comparison by means of linear regression analysis between volume measurement on the software and the real resected showed a nearly ideal correlation coefficient (R = 0.922, P < 0.01). The mean error was 6.1%.</p><p><b>CONCLUSIONS</b>The three-dimensional tumor visualization and virtual simulation of tumor resections of the software Liv 1.0 provide an important reference for a valuable planning of complex hepatic resections. It is not only benefit to improve the predictability and security of hepatectomy but also helpful to improve the success rate of complex hepatic resections.</p>